United StatesHealthcare and life sciences2021 – ongoingHonorHealth
Qventus patient flow and surgical capacity management
HonorHealth saved $69M by reducing excess hospital days, according to Qventus
Problem
HonorHealth faced discharge delays and unused operating-room time. Existing electronic health record functions did not provide the coordination its teams needed.
Approach
HonorHealth deployed Qventus across inpatient and surgical operations. Locally trained models estimated discharge dates and prioritised actions within existing clinical workflows. Surgical scheduling tools predicted unused operating-room blocks and prompted their release for other cases.
Results
Takeaway
Qventus connected predictions to staff actions in existing workflows. Its capacity figure represented capacity released through shorter stays.
Categories
- Size
- Large enterprise
- Industry
- Healthcare and life sciences
- Business function
- Production and quality
- Innovation type
- Process innovation
- AI technology
- Predictive analytics and MLOptimization
- Adoption
- Vendor solution
- Evidence
- Vendor case study
Sources
Source summaries
Qventus described machine-learning discharge planning and surgical scheduling at HonorHealth. It reported $69M in savings, 181 beds of additional capacity and 224 additional surgical cases monthly.
Full details are in the original sources.